A New Gradient-driven Inpainting Approach

摘要：

To the large-scale region geometric inpainting of the digital image, the gradient-driven computing model is superior to previous other models, but its performance is not stable to different inpainted objects because the information propagating direction is uncertain in the inpainting process. In this paper, a novel conclusion is firstly described that it is decisive to the inpainting result that the information propagating direction always points to the outside of inpainted region. Finally, a new method of gradient-driven image inpainting is proposed. Experimental results prove that the method can stabilize the information propagating direction of the inpainting process and its inpainting performance is more robust.

关键词： Inpainting Gradient-driven Information propagating direction

作者: Xue-yi Ye Jing Wang Hua-hua Chen Zhi-jin Zhao

作者单位: Pattern Recognition and Information Security Lab Hangzhou Dianzi University Hangzhou 310018, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 784-788

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）